{"id":208284,"date":"2020-11-27T02:30:57","date_gmt":"2020-11-26T18:30:57","guid":{"rendered":"http:\/\/4563.org\/?p=208284"},"modified":"2020-11-27T02:30:57","modified_gmt":"2020-11-26T18:30:57","slug":"%e9%91%bb%e8%a7%84%e7%81%89%e6%b6%93%e6%92%bb%e6%a3%ac%e9%8e%bc%e7%82%b0%e7%b0%a1%e6%b6%93%ee%81%88%e6%8b%a1%e7%80%b5mac-%e6%b5%bc%e6%a8%ba%e5%af%b2%e9%90%a8tensorflow","status":"publish","type":"post","link":"http:\/\/4563.org\/?p=208284","title":{"rendered":"\u947b\u89c4\u7049\u6d93\u64bb\u68ec\u93bc\u70b0\u7c21\u6d93\ue048\u62e1\u7035?mac \u6d7c\u6a3a\u5bf2\u9428?tensorflow"},"content":{"rendered":"
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\u947b\u89c4\u7049\u6d93\u64bb\u68ec\u93bc\u70b0\u7c21\u6d93\ue048\u62e1\u7035?mac \u6d7c\u6a3a\u5bf2\u9428?tensorflow <\/h1>\n

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\u8cc7\u6df1\u5927\u4f6c : NeezerGu <\/span> <\/i> 0<\/span> <\/div>\n
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news
https:\/\/machinelearning.apple.com\/updates\/ml-compute-training-on-mac<\/p>\n

Mac-optimized TensorFlow
https:\/\/github.com\/apple\/tensorflow_macos<\/p>\n

\u935d\ue043\u7d85\u9422\u4f43\u5273\u5bb8\u832c\u7ca1\u9352\u9881\u7c21\u9428\u52ee\u7a87\u74ba\u6223\u762f\u7487\u66ea\u7d35 <\/p><\/div>\n

\u5927\u4f6c\u6709\u8a71\u8aaa<\/b> (9<\/span>) <\/div>\n
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    \u8cc7\u6df1\u5927\u4f6c : BingoXuan <\/span> <\/div>\n
    <\/i> <\/span> <\/div>\n<\/p><\/div>\n
    \u6d94\u5b2a\u58a0\u93c8\u5909\u6c49\u9359\u6223\u7e43\u5a34\u5b2d\u762f\u6769\u70b4\u5e34\u951b\u5c7d\u3047\u59d2\u509b\u6e41 1080 \u9428\u52ea\u7af4\u9478?\/div> <\/td>\n<\/tr>\n<\/table><\/div>\n<\/p><\/div>\n<\/li>\n
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    \u8cc7\u6df1\u5927\u4f6c : ttys001 <\/span> <\/div>\n
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    Native hardware acceleration is supported on Macs with M1 and Intel-based Macs through Apple\u9225\u6a9a ML Compute framework.
    \u6d93\u5d84\u7c8e\u6d60\u546e\u656e\u93b8?M1 \u935f\u5a4f\u7d1d\u93c8\u590b\u6902\u95c2\u7fe0\u7c21\u7487\u66e1\u762f\u9286?\/div> <\/td>\n<\/tr>\n<\/table><\/div>\n<\/p><\/div>\n<\/li>\n
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    \u8cc7\u6df1\u5927\u4f6c : lly0514 <\/span> <\/div>\n
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    \u93ba\u3127\u58d2\u6d93\u5a43\u6e41\u6d5c\u9e3f\ue1e9\u5a34\u5b2d\u762f\u74ba?1080 \u5bb8\ue1bb\u7b09\u6fb6\u6c3e\u7d1d\u9470\u5c7c\u7b16\u6769\u6a3f\u5158\u6d7c\u6a3a\u5bf2\u951b\u5c80\u6e61\u93c4\ue21c\ue6a3\u6d5c?\/div> <\/td>\n<\/tr>\n<\/table><\/div>\n<\/p><\/div>\n<\/li>\n
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    \u8cc7\u6df1\u5927\u4f6c : icenine <\/span> <\/div>\n
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    @BingoXuan \u6d93\u5d86\u69f8\u935a\u044d\u7d1d\u93c8?1080 \u9428\u52ec\u6309\u9a9e\u866b\u579c\u6939\ue0ff\u7b02\u704f\u8fa8\u5d32 M1 <\/div>\n<\/p><\/div>\n<\/li>\n
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    \u8cc7\u6df1\u5927\u4f6c : maxmak <\/span> <\/div>\n
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    @lly0514 \u93c8\u590e\ue74b\u68f0\u621d\u60a7 <\/div>\n<\/p><\/div>\n<\/li>\n
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    \u8cc7\u6df1\u5927\u4f6c : BingoXuan <\/span> <\/div>\n
    <\/i> <\/span> <\/div>\n<\/p><\/div>\n
    @icenine
    \u93cc\u612a\u7c3a\u5a34\u5b2d\u762f\u6748\u60e7\u57cc\u6769\u6b0e\u91dc\u59d8\u6751\u94a9\u6d93\u5d85\ue68c\u93ac\ue04e\u7d1d\u9350\u546f\u7586 GPU \u95ae\u501f\u5200\u6d93\u5a41\u7c21 1050ti\u951b\u5c7c\u7d8d\u9350?npu \u9428\u52ef\u6f70\u7ec9\ue21b\u762e GPU \u6769\u6a3a\u3047\u9286\u509d\u7e56\u6d93\ue043\u7b13\u95c2\u3127\u6b91 tf \u93c4\ue21c\u6564 npu \u9470\u5c7c\u7b09\u93c4?GPU \u9286?\/div> <\/td>\n<\/tr>\n<\/table><\/div>\n<\/p><\/div>\n<\/li>\n
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    \u8cc7\u6df1\u5927\u4f6c : xinmiaozhao526 <\/span> <\/div>\n
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    @BingoXuan \u6769\u6b0e\u91dc TensorFlow \u748b\u51aa\u6564\u9428\u52ec\u69f8 ML Compute \u5997\u55d8\u7066\u951b\u5b67L Compute \u9359\ue046\u6564\u9428?CPU \u935c?GPU\u951b\u5c7e\u75c5\u93c8\u590c\u6564 NPU \u9286?\/div> <\/td>\n<\/tr>\n<\/table><\/div>\n<\/p><\/div>\n<\/li>\n
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    \u8cc7\u6df1\u5927\u4f6c : jim9606 <\/span> <\/div>\n
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    \u6769\u6b11\u5e3a\u93b0\u5fd3\u6c28\u93c4\ue21e\u20ac\u509e\u53a4\u6d5c?ML Framework\u951b\u5c7e\u6e41\u5a0c\u2103\u6e41\u9422\u3124\u7b02 NPU \u6d93\u5d87\u7161\u95ac\u64c4\u7d1d\u6d93\u5d88\u7e43\u6924\u54c4\u752b\u7481\u2544\u20ac?Mac \u6d93\u5a44\u6b91 A \u9357\u00a4\u5158\u9422\u3124\u7b02 tensorflow \u6d5c\u55d0\u20ac?\/div> <\/td>\n<\/tr>\n<\/table><\/div>\n<\/p><\/div>\n<\/li>\n
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    \u8cc7\u6df1\u5927\u4f6c : shm7 <\/span> <\/div>\n
    <\/i> <\/span> <\/div>\n<\/p><\/div>\n
    tf2.4\u951b\u5bb2ython3.8\u951b\u5baeacos11 \u7035\u901b\u7b09\u74a7\u8702\u7b09\u941c\u2540\u7c21 <\/div>\n<\/p><\/div>\n<\/li>\n
  • \n","protected":false},"excerpt":{"rendered":"

    \u947b\u89c4\u7049\u6d93\u64bb\u68ec\u93bc\u70b0\u7c21\u6d93\ue048\u62e1\u7035?mac…<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[],"tags":[],"_links":{"self":[{"href":"http:\/\/4563.org\/index.php?rest_route=\/wp\/v2\/posts\/208284"}],"collection":[{"href":"http:\/\/4563.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/4563.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/4563.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/4563.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=208284"}],"version-history":[{"count":0,"href":"http:\/\/4563.org\/index.php?rest_route=\/wp\/v2\/posts\/208284\/revisions"}],"wp:attachment":[{"href":"http:\/\/4563.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=208284"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/4563.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=208284"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/4563.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=208284"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}